CN116491914B - VR video intelligent system and method - Google Patents
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Abstract
The invention discloses an VR video intelligent system and method, wherein the system comprises a detection module and a control module; the detection module is connected with the optimization module; the detection module comprises: pupil observation sensor, heart rate sensor, skin resistance sensor; the pupil observation sensor can capture and extract characteristic information of eyeballs and measure the movement state of the eyeballs; the skin resistance sensor detects skin perspiration and body temperature; the heart rate sensor detects a user heart rate; the control module mainly optimizes the number of the advertisement strips and the advertisement duration of video insertion by utilizing a dragonfly optimization algorithm; according to the invention, the use condition of the VR glasses by a user is monitored through the pupil observation sensor, the skin resistance sensor and the heart rate sensor; monitoring the interest degree of the user on the put advertisements; the method is improved by quick response of a dragonfly optimization algorithm, and the number and duration of advertisement delivery in VR glasses are adjusted by a feedback system.
Description
Technical Field
The invention relates to the technical field of user information acquisition automatic control equipment of VR technology, in particular to an VR video intelligent system and method.
Background
With the advance of science and technology, VR technology is used in various industries, but is most commonly used in various industries. In the real estate roaming industry, VR technology can be used for reporting batches directly, so that the communication cost is greatly reduced, and the working efficiency is improved, and therefore, the VR technology is outstanding in the aspect of real estate sales and rapidly develops. The principle of the operation of the system is that a developer can randomly intercept pictures or fragments in local roaming by utilizing the virtual reality technology, so that advertisements are manufactured, and a customer is immersed in a real property with extremely high sense of reality in a real property roaming virtual reality system to feel personally on the spot, so that the two parties are promoted to achieve consensus, trade is carried out, the efficiency is high, the cost is low, and win-win is realized.
In fact, VR technology has many applications in life, such as many tricks seen in movies, which are accomplished by VR technology, and bring more shocking visual effects to viewers. After simplification, VR glasses are increasingly incorporated into people's lives. However, VR glasses produced in a unified way cannot be suitable for everyone, the eye distance is different, and the eye focusing points are different, so that the VR glasses need to track the movement condition of eyeballs, and the overlapping distance of pictures can be adjusted in real time, so that better use experience can be brought to users.
The main inspiration of the dragonfly optimization algorithm is derived from the static and dynamic clustering behavior of the dragonfly in the nature, so that a very accurate approximate value of the pareto optimal solution with high uniform distribution can be found, and the reaction speed is high.
Disclosure of Invention
The invention aims to: the invention aims to provide a VR video intelligent system and a VR video intelligent method, which are used for capturing and monitoring eyeball movement state, heart rate variation and skin perspiration and pressure variation of a user in real time, analyzing the interested degree of the user on the number of advertisements and advertisement duration put in VR glasses through the information, optimizing the audience rating of the advertisements through a dragonfly optimization algorithm, and maximizing the income brought by products.
The technical scheme is as follows: the VR video intelligent system comprises a detection module and a control module; the detection module is connected with the optimization module; the detection module comprises: pupil observation sensor, heart rate sensor, skin resistance sensor; the pupil observation sensor can capture and extract characteristic information of eyeballs and measure the movement state of the eyeballs; the skin resistance sensor detects skin perspiration and body temperature; the heart rate sensor detects a user heart rate; the control module mainly optimizes the number of the advertisement strips and the advertisement duration of the video insertion by utilizing a dragonfly optimization algorithm.
The invention discloses a VR video intelligent system method, which comprises the following steps:
(1) An objective function is established, and the formula is as follows:
wherein G is the total income of an advertisement time interval, k is the cost of each advertisement, S is the average audience rating, S is the audience rating, S in The audience rating is affected by input parameters of the heart rate sensor and the pupil observation sensor. N is the number of advertisements, T is the total duration of the advertisement time slot, and T is the duration of each advertisement.
(2) And optimizing the objective function by utilizing a dragonfly optimization algorithm.
Further, the step (2) includes the following steps:
(21) The separation can avoid too short interval between each advertisement and reduce audience rating;
(22) Alignment is to make a certain advertisement have the same time length as the adjacent advertisement; when the two advertisement time lengths are the same to a large extent, the total time length of the stage can appear, and the audience rating is reduced;
(23) Aggregation, i.e., a certain advertisement has a tendency to approach advertisements with higher ratings; by using the psychology of the user, the advertisement with a common or very low audience rating is arranged beside the advertisement with a higher audience rating, and a certain audience rating of people on the advertisement can be driven to a certain extent, so that the concentration degree needs to be considered when the advertisement is put in;
(24) Food attraction, namely, the optimal time point of advertisement in video in a certain iterative calculation;
(25) The natural enemies are dispersed, namely the advertisements are far away from the advertisements competing with the brand of the natural enemies as far as possible, so that the optimizing calculation efficiency is improved.
Further, the step (21) specifically includes the following steps:
wherein E is k For the separation degree of dragonfly k, namely the association degree between each advertisement, N represents the current position of dragonfly, namely the time point of advertisement in the total duration of video, N j Represents the position of the jth adjacent dragonfly, i.e. the point in time when the jth adjacent advertisement is in the total duration of the video, J represents the number of adjacent dragonflies of the kth dragonfly in the population, i.e. J represents the number of adjacent advertisements of the kth advertisement in the video.
Further, the step (22) specifically includes the following steps:
wherein U is K The alignment degree of dragonfly k represents the alignment degree of advertisement k, V j Representing the flying speed of the jth adjacent dragonfly, representing the advertisement duration of the jth adjacent advertisement, and J representing the number of adjacent dragonflies of the kth dragonfly in the group, tableShowing the number of adjacent advertisements to the kth advertisement in the video.
Further, the step (23) specifically includes the following steps:
B K the aggregation degree of the dragonfly k is represented by the aggregation degree of the advertisement k, N represents the current position of the dragonfly, namely the time point of the advertisement in the total duration of the video, N j Representing the position of the jth adjacent dragonfly, i.e. the time point when the jth adjacent advertisement is in the total duration of the video, wherein J represents the number of adjacent dragonflies of the kth dragonfly in the group, and represents the number of adjacent advertisements of the kth advertisement in the video.
Further, the step (24) specifically includes the following steps:
S K ＝N + -N
S K the food attraction of dragonfly k is represented by advertisement k, N + And (3) representing the optimal time point of the advertisement in the video in the current calculation as the optimal dragonfly position in the current calculation.
Further, the step (25) specifically includes the following steps:
T k ＝N - +N
T k the natural enemy dispersion of dragonfly k represents the natural enemy dispersion of advertisement k, N - The worst dragonfly position in the current calculation represents the advertisement position competing with the brand of the user in the current calculation; dragonfly individual k flight position update step:
ΔN k+1 ＝(eE i +uU i +bB i +sS i +tT i )+βN k
dragonfly flight position update, i.e. the point in time of advertisement in video update:
N l+1 ＝N l +ΔN l
wherein E, U, B, S, T is the influence coefficient of the separability, alignment, aggregation, food attraction and natural enemy dispersion, beta represents the inertia coefficient, l represents the repeated iteration count index, N represents the current position of the dragonfly, E is the separability of the dragonfly, U is the alignment of the dragonfly, B is the aggregation of the dragonfly, S is the food attraction of the dragonfly, and T is the natural enemy dispersion of the dragonfly.
An apparatus according to the present invention, comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of a VR video intelligent system method as set forth in any one of claims 2-8 when the program is executed by the processor.
A storage medium of the present invention having a computer program stored therein, wherein the computer program is arranged to perform the steps of a VR video intelligent system method as set forth in any one of claims 2-8 when run.
The beneficial effects are that: compared with the prior art, the invention has the following remarkable advantages: according to the invention, the use condition of the VR glasses by a user is monitored through the pupil observation sensor, the skin resistance sensor and the heart rate sensor so as to improve the use experience of the user; monitoring the interest degree of a user on the put advertisements, and guaranteeing maximization of profit; the method is improved by quick response of a dragonfly optimization algorithm, and the number and duration of advertisement delivery in VR glasses are adjusted by a feedback system.
Drawings
FIG. 1 is a block diagram of an equipment system of the present invention;
FIG. 2 is a schematic illustration of the use of the apparatus of the present invention;
FIG. 3 is a unitary linear regression graph of weighted average ratings according to the present invention;
fig. 4 is a view of the optimal solution of the audience rating according to the present invention.
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings.
1-2, an embodiment of the invention provides a VR video intelligent system, which comprises a detection module and a control module; the detection module is connected with the optimization module; the detection module comprises: pupil observation sensor, heart rate sensor, skin resistance sensor; the pupil observation sensor can capture and extract characteristic information of eyeballs and measure the movement state of the eyeballs; the skin resistance sensor detects skin perspiration and body temperature; the heart rate sensor detects a user heart rate; the control module mainly optimizes the number of the advertisement strips and the advertisement duration of the video insertion by utilizing a dragonfly optimization algorithm.
As shown in fig. 3-4, an embodiment of the present invention provides a VR video intelligent system method, including the following steps:
(1) An objective function is established, and the formula is as follows:
wherein G is the total income of an advertisement time interval, k is the cost of each advertisement, S is the average audience rating, S is the audience rating, S in The audience rating is affected by input parameters of the heart rate sensor and the pupil observation sensor. N is the number of advertisements, T is the total duration of the advertisement time slot, and T is the duration of each advertisement.
(2) Optimizing an objective function by utilizing a dragonfly optimization algorithm; the method comprises the following steps:
(21) The separation can avoid too short interval between each advertisement and reduce audience rating; the method comprises the following steps:
wherein E is k For the separation degree of dragonfly k, namely the association degree between each advertisement, N represents the current position of dragonfly, namely the time point of advertisement in the total duration of video, N j Represents the position of the jth adjacent dragonfly, i.e. the point in time when the jth adjacent advertisement is in the total duration of the video, J represents the number of adjacent dragonflies of the kth dragonfly in the population, i.e. J represents the number of adjacent advertisements of the kth advertisement in the video.
(22) The alignment is that the time length of a certain advertisement is the same as that of an adjacent advertisement, when the time length of two advertisements is the same to a large extent, the total time length of the stage can appear, and the audience rating is reduced; the method comprises the following steps:
wherein U is K The alignment degree of dragonfly k represents the alignment degree of advertisement k, V j Representing the flight speed of the jth adjacent dragonfly, representing the advertisement duration of the jth adjacent advertisement, and J representing the number of adjacent dragonflies of the kth dragonfly in the group, representing the number of adjacent advertisements of the kth advertisement in the video.
(23) The aggregation is that a certain advertisement has a trend of approaching to the advertisement with higher audience rating, and the advertisement with the common audience rating or very low audience rating is arranged beside the advertisement with higher audience rating by utilizing the psychology of a user, so that the certain audience rating of people on the advertisement can be driven to a certain extent, and the aggregation degree needs to be considered when the advertisement is put in; the method comprises the following steps:
B K the aggregation degree of the dragonfly k is represented by the aggregation degree of the advertisement k, N represents the current position of the dragonfly, namely the time point of the advertisement in the total duration of the video, N j Representing the position of the jth adjacent dragonfly, i.e. the time point when the jth adjacent advertisement is in the total duration of the video, wherein J represents the number of adjacent dragonflies of the kth dragonfly in the group, and represents the number of adjacent advertisements of the kth advertisement in the video.
(24) Food attraction, namely, the optimal time point of advertisement in video in a certain iterative calculation; the method comprises the following steps:
S K ＝N + -N
S K the food attraction of dragonfly k is represented by advertisement k, N + And (3) representing the optimal time point of the advertisement in the video in the current calculation as the optimal dragonfly position in the current calculation.
(25) The natural enemies are dispersed, namely the advertisements are as far away from the advertisements competing with the brand of the natural enemies as possible, so that the optimizing calculation efficiency is improved; the method comprises the following steps:
T k ＝N - +N
T k the natural enemy dispersion of dragonfly k represents the natural enemy dispersion of advertisement k, N - The worst dragonfly position in the current calculation represents the advertisement position competing with the brand of the user in the current calculation; dragonfly individual k flight position update step:
ΔN k+1 ＝(eE i +uU i +bB i +sS i +tT i )+βN k
dragonfly flight position update, i.e. the point in time of advertisement in video update:
N l+1 ＝N l +ΔN l
wherein E, U, B, S, T is the influence coefficient of the separability, alignment, aggregation, food attraction and natural enemy dispersion, beta represents the inertia coefficient, l represents the repeated iteration count index, N represents the current position of the dragonfly, E is the separability of the dragonfly, U is the alignment of the dragonfly, B is the aggregation of the dragonfly, S is the food attraction of the dragonfly, and T is the natural enemy dispersion of the dragonfly.
An embodiment of the present invention provides an apparatus, including a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor implements the steps of a VR video intelligent system method as set forth in any one of claims 2-8 when the program is executed by the processor.
An embodiment of the invention provides a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of a VR video intelligent system method as claimed in any one of claims 2-8 when run.
Claims (1)
1. The VR video intelligent system is characterized by comprising a detection module and a control module; the detection module is connected with the optimization module; the detection module comprises: pupil observation sensor, heart rate sensor, skin resistance sensor; the pupil observation sensor captures and extracts characteristic information of eyeballs and measures the movement state of the eyeballs; the skin resistance sensor detects skin perspiration and body temperature; the heart rate sensor detects a user heart rate; the control module mainly optimizes the number of the advertisement strips and the advertisement duration of video insertion by utilizing a dragonfly optimization algorithm;
the VR video intelligent system-based method comprises the following steps:
(1) An objective function is established, and the formula is as follows:
min:
where G is the total revenue for an advertisement slot, k is the cost per advertisement,is average audience rating, S is audience rating, S in The audience rating is influenced by input parameters of a heart rate sensor and a pupil observation sensor;
n is the number of advertisements, T is the total duration of the advertisement time slot, and T is the duration of each advertisement;
(2) Optimizing an objective function by utilizing a dragonfly optimization algorithm; the method comprises the following steps:
(21) The separation can avoid too short interval between each advertisement and reduce audience rating; the method comprises the following steps:
wherein E is k For the separation of dragonfly k, i.e. the correlation between each advertisement, N represents the current dragonfly position, i.e. the time when the advertisement is in the total duration of the videoIntermediate points, N j Representing the position of the jth adjacent dragonfly, namely the time point when the jth adjacent advertisement is positioned in the total duration of the video, wherein J represents the number of adjacent dragonflies of the kth dragonfly in the group, namely J represents the number of adjacent advertisements of the kth advertisement in the video;
(22) Alignment is to make a certain advertisement have the same time length as the adjacent advertisement; the method comprises the following steps:
wherein U is K The alignment degree of dragonfly k represents the alignment degree of advertisement k, V j Representing the flight speed of the jth adjacent dragonfly, representing the advertisement duration of the jth adjacent advertisement, wherein J represents the number of adjacent dragonflies of the kth dragonfly in the group and represents the number of adjacent advertisements of the kth advertisement in the video;
(23) Aggregation, i.e., a certain advertisement has a tendency to approach advertisements with higher ratings; the method comprises the following steps:
B K the aggregation degree of the dragonfly k is represented by the aggregation degree of the advertisement k, N represents the current position of the dragonfly, namely the time point of the advertisement in the total duration of the video, N j Representing the position of the jth adjacent dragonfly, namely the time point of the jth adjacent advertisement in the total duration of the video, wherein J represents the number of adjacent dragonflies of the kth dragonfly in the group and represents the number of adjacent advertisements of the kth advertisement in the video;
(24) Food attraction, namely, the optimal time point of advertisement in video in a certain iterative calculation; the method comprises the following steps:
S K ＝N + -N
S K the food attraction of dragonfly k is represented by advertisement k, N + The optimal dragonfly position in the current calculation represents the optimal time point of the advertisement in the video in the current calculation;
(25) The natural enemies are dispersed, namely the advertisements are as far away from the advertisements competing with the brand of the natural enemies as possible, so that the optimizing calculation efficiency is improved; the method comprises the following steps:
T k ＝N - +N
T k the natural enemy dispersion of dragonfly k represents the natural enemy dispersion of advertisement k, N - The worst dragonfly position in the current calculation represents the advertisement position competing with the brand of the user in the current calculation; dragonfly individual k flight position update step:
ΔN k+1 ＝(eE i +uU i +bB i +sS i +tT i )+βN k
dragonfly flight position update, i.e. the point in time of advertisement in video update:
N l+1 ＝N l +ΔN l
wherein E, U, B, S, T is the influence coefficient of the separability, alignment, aggregation, food attraction and natural enemy dispersion, beta represents the inertia coefficient, l represents the repeated iteration count index, N represents the current position of the dragonfly, E is the separability of the dragonfly, U is the alignment of the dragonfly, B is the aggregation of the dragonfly, S is the food attraction of the dragonfly, and T is the natural enemy dispersion of the dragonfly.
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| KR20050116192A (en) * | 2004-06-07 | 2005-12-12 | 조열 | Advertising-contents providing method |
| CN104778608A (en) * | 2015-04-13 | 2015-07-15 | 合一信息技术（北京）有限公司 | N+ advertisement putting and optimizing method |
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| US9877058B2 (en) * | 2015-12-02 | 2018-01-23 | International Business Machines Corporation | Presenting personalized advertisements on smart glasses in a movie theater based on emotion of a viewer |
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| CN104778608A (en) * | 2015-04-13 | 2015-07-15 | 合一信息技术（北京）有限公司 | N+ advertisement putting and optimizing method |
| CN107703751A (en) * | 2017-10-13 | 2018-02-16 | 河南工程学院 | PID controller optimization method based on dragonfly algorithm |
| CN111651722A (en) * | 2020-04-08 | 2020-09-11 | 西窗科技(苏州)有限公司 | Risk assessment method and platform for advertisement putting effect of advertiser |
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